Static and dynamic fracture strength of Barre granite

Goldsmith, Werner; Sackman, Jerome L.; Ewerts, C.

doi:10.1016/0148-9062(76)91829-5

Cited by 116 publications

(55 citation statements)

References 9 publications

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“…Barre granite's mineral content typically consists of approximately 36% plagioclase, 32% quartz, 18% K-feldspar, 8% biotite, 3% muscovite, and 3% granophyres minerals (Goldsmith et al 1976). It is a fine to medium grained rock with mineral grain sizes ranging from 0.25 to 3 mm (Xia et al 2007).…”

Section: Methodsmentioning

confidence: 99%

“…Figure 2 displays a granite specimen with the position of the attached AE sensors. (Miller (2008) Compressive Strength (MPa) 151 (Miller (2008) Tensile Strength (MPa) 5.08-10.65 Goldsmith et al (1976) P-wave velocity (m/s) 4000 High speed imagery was captured using a Phantom TM V-series high speed camera controlled by a separate laptop computer. This high-speed camera captures approximately 5404 images in 1.081 sec at 512×512 pixel resolution.…”

Section: Methodsmentioning

confidence: 99%

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Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals

2015

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Determination of the cracking levels during the crack propagation is one of the key challenges in the field of fracture mechanics of rocks. Acoustic emission (AE) is a technique that has been used to detect cracks as they occur across the specimen. Parametric analysis of AE signals and correlating these parameters (e.g. hits and energy) to stress-strain plots of rocks let us detect cracking levels, properly. The number of AE hits is related to the number of cracks, and the AE energy is related to magnitude of the cracking event. For a full understanding of the fracture process in brittle rocks, prismatic specimens of granite containing pre-existing flaws have been tested in uniaxial compression tests, and their cracking process was monitored with both AE and high-speed video imaging. In this paper the characteristics of the AE parameters and the evolution of cracking sequences are analyzed for every cracking level. Based on micro-and macro-crack damage, a classification of cracking levels is introduced. This classification contains eight stages 1) crack closure, 2) linear elastic deformation, 3) micro-crack initiation (white patch initiation), 4) micro-crack growth (stable crack growth), 5) micro-crack coalescence (macro-crack initiation), 6) macro-crack growth (unstable crack growth), 7) macro-crack coalescence and 8) failure.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals

2015

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“…Barre granite is chosen for this study because it exhibits a high degree of anisotropy . In addition, it was designated as part of a standard rock suite by the U.S. Bureau of Mines (GOLDSMITH et al, 1976).…”

Section: Introductionmentioning

confidence: 99%

“…Both quasi-static and dynamic tension tests were conducted on the Barre granite to investigate the loading rate effect and the correlation between the micro-structure-induced anisotropy and material mechanical properties (GOLDSMITH et al, 1976). However, as pointed out by XIA et al, (2008), the effect of micro-structures on the dynamic behaviours of Barre granite was inconclusive due to lack of control of the loading rate and other deficiencies in the experimental design.…”

Section: Introductionmentioning

confidence: 99%

Loading Rate Dependence of Tensile Strength Anisotropy of Barre Granite

Dai

Xia

2010

Pure Appl. Geophys.

112

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Granitic rocks usually exhibit strongly anisotropy due to pre-existing microcracks induced by long-term geological loadings. The understanding of the rock anisotropy in mechanical properties is critical to a variety of rock engineering applications. In this paper, Brazilian tests are conducted statically with a material testing machine and dynamically with a split Hopkinson pressure bar system to measure both static and dynamic tensile strength of Barre granite. To understand the anisotropy in tensile strength, samples are cored and labelled using the three principle directions of Barre granite to form six sample groups. For dynamic tests, a pulse shaping technique is used to achieve dynamic equilibrium in the samples during the dynamic test. The finite element method is then implemented to formulate equations that relate the failure load to the material tensile strength by employing an orthotropic elastic material model. For samples in the same orientation group, the tensile strength shows clear loading rate dependence. The tensile strengths also exhibit clear anisotropy under static loading while the anisotropy diminishes as the loading rate increases, which may be due to the interaction of pre-existing microcracks.

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“…The mechanical behavior of rock, including its fracture characteristics, has become more and more important in recent years [36].…”

Section: Numerical Analysis On the Failure Process Of Rockmentioning

confidence: 99%

Experimental and Numerical Evaluation of Rock Dynamic Test with Split-Hopkinson Pressure Bar

Peng

Gao

Liu

et al. 2017

Advances in Materials Science and Engineering

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Feasibility of rock dynamic properties by split-Hopkinson pressure bar (SHPB) was experimentally and numerically evaluated with ANSYS/LS-DYNA. The effects of different diameters, different loading rates, and different propagation distances on wave dispersion of input bars in SHPB with rectangle and half-sine wave loadings were analyzed. The results show that the dispersion effect on the diameter of input bar, loading rate, and propagation distance under half-sine waveform loading is ignorable compared with the rectangle wave loading. Moreover, the degrees of stress uniformity under rectangle and half-sine input wave loadings are compared in SHPB tests, and the time required for stress uniformity is calculated under different above-mentioned loadings. It is confirmed that the stress uniformity can be realized more easily using the half-sine pulse loading compared to the rectangle pulse loading, and this has significant advantages in the dynamic test of rock-like materials. Finally, the Holmquist-Johnson-Concrete constitutive model is introduced to simulate the failure mechanism and failure and fragmentation characteristics of rock under different strain rates. And the numerical results agree with that obtained from the experiment, which confirms the effectiveness of the model and the method.

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Static and dynamic fracture strength of Barre granite

Cited by 116 publications

References 9 publications

Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals

Detection of Cracking Levels in Brittle Rocks by Parametric Analysis of the Acoustic Emission Signals

Loading Rate Dependence of Tensile Strength Anisotropy of Barre Granite

Experimental and Numerical Evaluation of Rock Dynamic Test with Split-Hopkinson Pressure Bar

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